Constructing a Sustainable Evaluation Framework for AIGC Technology in Yixing Zisha Pottery: Balancing Heritage Preservation and Innovation
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(3), P. 910 - 910
Published: Jan. 23, 2025
This
study
develops
a
sustainable
evaluation
framework
for
Yixing
Zisha
pottery
design
schemes
generated
by
Artificial
Intelligence
Generated
Content
(AIGC)
technology,
emphasizing
the
integration
of
cultural
heritage
preservation
with
innovation.
As
traditional
Chinese
craft
and
recognized
element
intangible
(ICH),
is
celebrated
its
depth
unique
techniques.
Guided
emotional
theory,
assesses
aesthetic,
functional,
dimensions
through
hierarchical
analysis.
Using
Delphi
method
Analytic
Hierarchy
Process
(AHP),
primary
secondary
indicators
were
identified
weighted
based
on
expert
consensus.
AIGC
underpinned
advanced
AI
algorithms,
generates
culturally
authentic
yet
innovative
solutions,
striking
balance
between
tradition
modernity.
The
findings
reveal
that
this
approach
enhances
diversity,
functionality,
efficiency
while
fostering
global
awareness.
By
providing
practical
guidance
integrating
technology
into
craftsmanship,
research
offers
replicable
model
other
crafts
contributes
to
theoretical
advancement
practices.
bridging
gap
digital
innovation
preservation,
addresses
critical
need
strategies
in
creative
industries.
Language: Английский
AI-Assisted Inheritance of Qinghua Porcelain Cultural Genes and Sustainable Design Using Low-Rank Adaptation and Stable Diffusion
Qian Bao,
No information about this author
J. Zhao,
No information about this author
Ziqi Liu
No information about this author
et al.
Electronics,
Journal Year:
2025,
Volume and Issue:
14(4), P. 725 - 725
Published: Feb. 13, 2025
Blue-and-white
porcelain,
as
a
representative
of
traditional
Chinese
craftsmanship,
embodies
rich
cultural
genes
and
possesses
significant
research
value.
Against
the
backdrop
generative
AI
era,
this
study
aims
to
optimize
creative
processes
blue-and-white
porcelain
enhance
efficiency
accuracy
complex
artistic
innovations.
Traditional
methods
crafting
encounter
challenges
in
accurately
efficiently
constructing
intricate
patterns.
This
employs
grounded
theory
conjunction
with
KANO-AHP
hybrid
model
classify
quantify
core
esthetic
features
thereby
establishing
multidimensional
feature
library
its
Subsequently,
leveraging
Stable
Diffusion
platform
utilizing
Low-Rank
Adaptation
(LoRA)
technology,
artificial
intelligence
(AIGC)-assisted
workflow
was
proposed,
capable
restoring
innovating
enhances
precision
pattern
innovation
while
maintaining
consistency
original
style.
Finally,
by
integrating
principles
sustainable
design,
explores
new
pathways
for
digital
offering
viable
solutions
contemporary
reinvention
crafts.
The
results
indicate
that
AIGC
technology
effectively
facilitates
integration
modern
design
approaches.
It
not
only
empowers
inheritance
continuation
but
also
introduces
ideas
possibilities
development
craftsmanship.
Language: Английский
Generative Large Model-Driven Methodology for Color Matching and Shape Design in IP Products
Entropy,
Journal Year:
2025,
Volume and Issue:
27(3), P. 319 - 319
Published: March 19, 2025
The
rise
in
generative
large
models
has
gradually
influenced
traditional
product
design
processes,
with
AI-generated
content
(AIGC)
playing
an
increasingly
significant
role.
Globally,
tourism
IP
cultural
products
are
crucial
for
promoting
sustainable
development.
However,
there
is
a
lack
of
practical
methodologies
incorporating
products.
Therefore,
this
study
proposes
methodology
the
color
matching
and
shape
using
multimodal
models.
process
includes
four
phases,
as
follows:
(1)
GPT-4o
used
to
explore
visitors’
emotional
needs
identify
target
imagery;
(2)
Midjourney
generates
options
that
align
imagery,
optimal
selected
through
quadratic
curvature
entropy
method
based
on
curves;
(3)
colored
images
reflecting
representative
colors
AHP
OpenCV;
(4)
harmony
calculations
best
combination.
These
alternatives
evaluated
quantitatively
qualitatively
color-matching
aesthetic
measurement
formula
sensibility
questionnaire.
effectiveness
demonstrated
case
harbor
seal,
showing
strong
correlation
between
quantitative
qualitative
evaluations,
confirming
its
design.
Language: Английский
The application and impact of artificial intelligence technology in graphic design: A Critical Interpretive Synthesis
Hong Li,
No information about this author
Tao Xue,
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Aijia Zhang
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et al.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(21), P. e40037 - e40037
Published: Nov. 1, 2024
In
the
field
of
graphic
design,
application
Artificial
Intelligence
(AI)
is
reshaping
design
process.
This
study
employs
Critical
Interpretive
Synthesis
(CIS)
approach
to
explore
impacts
and
challenges
AI
on
design.
Through
a
comprehensive
review
33
papers,
this
research
reveals
four
paradigms
in
design:
Driven
Design
Automation
Generation
(AIDAG),
Assisted
Graphic
Image
Processing
(AGDIP),
Art
Creative
Processes
(AACDP),
Enhanced
Visual
Attention
Emotional
Response
Modeling
(AVERM).
These
demonstrate
multidimensional
role
ranging
from
automation
emotional
interaction.
The
findings
suggest
that
serves
dual
as
both
tool
medium
for
innovation.
not
only
enhances
efficiency
process
but
also
fosters
designers'
creative
thinking
understanding
users'
needs.
proposes
path
process,
providing
effective
ideas
future
workflows.
Language: Английский
Research on Sustainable Intelligent Drying Wardrobe Design Strategy Based on Importance–Performance Analysis
Huang Yi,
No information about this author
Xiang Li,
No information about this author
Feng Gan
No information about this author
et al.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(23), P. 10610 - 10610
Published: Dec. 3, 2024
Sustainable
design
concepts
are
that
the
United
Nations
and
China
have
been
promoting
aim
to
achieve
environmental
sustainability,
social
economic
sustainability.
In
recent
years,
with
rise
of
intelligent
drying
wardrobes,
more
scholars
applied
concept
sustainable
theoretical
research
practices
wardrobes.
But
most
them
focus
on
practice
a
certain
functional
module,
while
less
end
users.
This
study
examines
users’
perceptions
modules
wardrobes
through
questionnaire.
It
focuses
environmental,
social,
The
also
measures
satisfaction
importance
these
using
IPA.
From
perspective
users,
results
show
sustainability
is
best
option,
followed
by
enterprise
point
view,
high
priority
in
terms
user’s
needs
highlighted.
However,
response
development
policy,
taken
as
second
important
guiding
factor
for
wardrobe
modules.
paper
fills
current
gap
differences
prioritizes
perception
decisions
from
so
provide
some
reference
production.
Language: Английский